MLB Baseball

NYM vs MIL Prediction

July 22, 2026

10,000 Monte Carlo simulations

NYM vs MIL prediction for July 22, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects MIL 5.0 - NYM 3.1. MIL is favored with a 60.6% win probability. The run line is -1.5 and the total is 7.5. Model projects 8.1 total runs.

MIL
5.0
Projected Score
VS O/U 7.5
NYM
3.1
Projected Score
Win Probability
60.6%
39.4%
MILNYM
-1.5
Run Line (MIL)
7.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 63.6% (2,978 games)

Projected Runs Range 10th – 90th percentile

NYM
135
MIL
357
FINALMIL 4 — NYM 3
Projected
MIL 5.0 — NYM 3.1
Actual
MIL 4 — NYM 3

Starting Pitcher Matchup

Christian Scott R
NYM
FF49% · 95
ST23% · 81
FC18% · 90
usagewhiffbar labels show usage · mph
FF49%95 mph25% whiff
ST23%81 mph32% whiff
FC18%90 mph18% whiff
Logan Henderson R
MIL
FF42% · 93
CH33% · 82
FC22% · 87
usagewhiffbar labels show usage · mph
FF42%93 mph22% whiff
CH33%82 mph31% whiff
FC22%87 mph11% whiff

Weather Impact

American Family Field
67°F6 mph windRoof: retractable
HR: 1.037 Total: 1.020
neutral

Bullpen Comparison

NYM
3.44ERA
3.69FIP
9.32K/9
3.58BB/9
1.21WHIP
MIL
3.66ERA
3.52FIP
9.38K/9
3.94BB/9
1.32WHIP

Betting Edges

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Edge Analysis
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First 5 Innings & NRFI

NYM F5
1.7 runs
27.0% win
MIL F5
3.0 runs
58.3% win
F5 Total
4.7
NRFI
57.7%
YRFI
42.3%
Avg 1st Inn Runs
0.90

HR Spotlight

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Home Run Analysis
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Injury Report

NYM7 injured
Clay Holmes SP60-DAY-IL
Justin Hagenman RP60-DAY-IL
Mark Vientos 1B10-DAY-IL
Austin Warren RP15-DAY-IL
Dedniel Nunez RP60-DAY-IL
Reed Garrett RP60-DAY-IL
+1 more
MIL8 injured
Joel Kuhnel RP15-DAY-IL
Sal Frelick RF10-DAY-IL
Kyle Harrison SP15-DAY-IL
David Hamilton 3B10-DAY-IL
DL Hall RP15-DAY-IL
Brandon Lockridge LF60-DAY-IL
+2 more

Model Edge & Sizing

🔒The model's edge against the market, and the stake it sizes for this matchup, are premium.Unlock

Edge Analysis

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Edge Analysis
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How this prediction was generated: This page shows output from the Olympus Bets MLB Baseball Monte Carlo engine. Each game is simulated 10,000 times using real-time team data, injury reports, and current odds. Probabilities are calibrated using Bayesian methods and sized via the Kelly Criterion. Probabilities are calibrated using Bayesian methods and sized via the Kelly Criterion. Full methodology →

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